KYC Client Data Analyst

As a Client Data Specialist within our KYC quality reviewer team, you will be reviewing the records completed by the production team to ensure all client KYC records are compliant with regulatory standards. You will ensure high quality and timely completion of all client-level due diligence and assist in end-to-end operations review. This role will require you to perform research to ensure a client s KYC profile is appropriately updated and any discrepancies or issues with the profile escalated to the appropriate lines of business.

Job Responsibilities

• Analyze confidential client data from both public and internal sources to ensure compliance with KYC requirements.
• Understand and apply the firms KYC requirements, including various due diligence processes such as Customer Identification Program (CIP), Standard Due Diligence (SDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD), and Product Due Diligence (PDD).
• Identify discrepancies in KYC records, suggest necessary amendments, and escalate any Anti-Money Laundering (AML) red flags to the compliance team.
• Ensure that all record reviews are completed within specified deadlines and Service Level Agreements (SLAs).
• Review of confidential client data via publically available and internal sources Maintain high standards of customer service while handling sensitive information, ensuring confidentiality for both internal and external clients.
• Compare and contrast differences within KYC records , highlight amendments required to production team and also highlight escalate to compliance incase of AML Red flags
• Handle and maintain confidential client documentation.
• Demonstrate ability to comprehend the KYC risk factors and draft the overall risk summary for the client.

Required qualifications, capabilities and skills

• Bachelor s Degree and/or Graduate Degree
• Knowledge of KYC is essential with at least 5 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience)
• Strong research, analytical and comprehension skills, with ability to analyze large amounts of data
• Client focused with strong customer service skills (e.g. oral and written communication skills)
• Ability to multi-task and meet deadlines against a high volume work schedule

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